scholarly journals Setting a Research Agenda in Prevention of Healthcare-Associated Infections (HAIs) and Multidrug-Resistant Organisms (MDROs) Outside of Acute Care Settings

2018 ◽  
Vol 39 (2) ◽  
pp. 210-213 ◽  
Author(s):  
Charlesnika T. Evans ◽  
Robin L. Jump ◽  
Sarah L. Krein ◽  
Suzanne F. Bradley ◽  
Christopher J. Crnich ◽  
...  
2021 ◽  
Vol 10 (1) ◽  
pp. 19
Author(s):  
Hiroaki Baba ◽  
Hajime Kanamori ◽  
Issei Seike ◽  
Ikumi Niitsuma-Sugaya ◽  
Kentaro Takei ◽  
...  

Patients with severe Coronavirus disease 2019 (COVID-19) are at high risk for secondary infection with multidrug-resistant organisms (MDROs). Secondary infections contribute to a more severe clinical course and longer intensive care unit (ICU) stays in patients with COVID-19. A man in his 60s was admitted to the ICU at a university hospital for severe COVID-19 pneumonia requiring mechanical ventilation. His respiratory condition worsened further due to persistent bacteremia caused by imipenem-non-susceptible Klebsiella aerogenes and he required VV-ECMO. Subsequently, he developed a catheter-related bloodstream infection (CRBSI) due to Candida albicans, ventilator-associated pneumonia (VAP) due to multidrug-resistant Pseudomonas aeruginosa (MDRP), and a perianal abscess due to carbapenem-resistant K. aerogenes despite infection control procedures that maximized contact precautions and the absence of MDRO contamination in the patient’s room environment. He was decannulated from VV-ECMO after a total of 72 days of ECMO support, and was eventually weaned off ventilator support and discharged from the ICU on day 138. This case highlights the challenges of preventing, diagnosing, and treating multidrug-resistant organisms and healthcare-associated infections (HAIs) in the critical care management of severe COVID-19. In addition to the stringent implementation of infection prevention measures, a high index of suspicion and a careful evaluation of HAIs are required in such patients.


2020 ◽  
Vol 41 (S1) ◽  
pp. s76-s76
Author(s):  
Jennifer Ellison ◽  
Uma Chandran ◽  
Jennifer Happe ◽  
Ye Shen ◽  
Jayson Shurgold ◽  
...  

Background: Antibiotic-resistant organisms (AROs) are associated with greater disease severity and poor outcomes. Previous studies have investigated AROs and healthcare-associated infections (HAIs) within larger urban acute-care settings, but similar data for rural settings are scarce. In this stud, we aimed to fill this gap. Methods: Data on antimicrobial resistance (AMR), additional precautions and HAI were collected from 8 rural Alberta acute-care facilities over a 24-hour period from February 4–28, 2019. Data were gathered as part of the national Canadian, Rural, and Northern Acute Care Point Prevalence (CNAPP) survey. All inpatients on included units were reviewed. CNAPP protocol surveillance definitions were used. Results: In total, 961 patients were surveyed, of whom 94 of 961 (9.8%) were on additional precautions. Contact precautions only were most common (54 of 94, 57.4%) and were predominantly in place for MRSA (30 of 94, 31.9%). Of 961 patients, 100 (~10%) met the surveillance definitions for any infection. The most common infections were skin and soft-tissue infections (29 of 100, 29.0%) and bloodstream infections (28 of 100, 28.0%). An HAI occurred in 30 of 961 patients (3.1%); the most common HAIs were surgical site infections (8 of 30, 26.7%) and urinary tract infections (8 of 30, 26.7%). An antimicrobial was prescribed to 333 of 961 patients (34.6%) at the time of the survey, with ceftriaxone the most commonly prescribed (68 of 333, 20.4%). Most patients receiving an antimicrobial (237 of 333, 71.2%) did not meet the surveillance definition for any infection. The most common reason for any antimicrobial administration was empiric therapy (167 of 333, 50.1%). Conclusions: Investigations into antimicrobial use and the burden of HAIs in rural acute-care settings have been limited. In this study, we (1) established provincial baseline data for burden of disease in these facilities due to HAIs and (2) demonstrated that antimicrobial use is common, though most patients who were prescribed an antimicrobial did not meet study definitions for infection. It will be important to continue this type of surveillance in this understudied population to monitor the burden of HAIs over time, to establish antimicrobial utilization trends, and to continue to identify potential antimicrobial stewardship initiatives.Funding: NoneDisclosures: None


2020 ◽  
Vol 41 (3) ◽  
pp. 372-373
Author(s):  
Priscila Zacarias de Azevedo Carazatto ◽  
Felipe Francischeti Calil ◽  
Carlos Magno Castelo Branco Fortaleza

2019 ◽  
Vol 20 (8) ◽  
pp. 643-652 ◽  
Author(s):  
Guglielmo Giraldi ◽  
Marzietta Montesano ◽  
Christian Napoli ◽  
Paola Frati ◽  
Raffaele La Russa ◽  
...  

Background: The increasing antimicrobial resistance poses a challenge to surveillance systems and raises concerns about the impact of multidrug-resistant organisms on patient safety. Objective: The study aimed to estimate extra hospital stay and economic burden of infections due to alert organisms - mostly multidrug-resistant - in a teaching hospital. Methods: The present retrospective matched cohort study was conducted based on the analysis of hospital admissions at Sant’Andrea Teaching Hospital in Rome from April to December 2015. Extra hospital stay was the difference in the length of stay between each case and control. All the patients developing an infection due to an alert organism were considered cases, all others were eligible as controls. The costs of LOS were evaluated by multiplying the extra stay with the hospital daily cost. Results: Overall, 122 patients developed an infection due to alert organisms and were all matched with controls. The attributable extra stay was of 2,291 days (mean 18.8; median 19.0) with a significantly increased hospitalization in intensive care units (21.2 days), bloodstream infections (52.5 days), and infections due to Gram-negative bacteria (mean 29.2 days; median 32.6 days). Applying the single day hospital cost, the overall additional expenditure was 11,549 euro per patient. The average additional cost of antibiotic drugs for the treatment of infections was about 1,200 euro per patient. Conclusion: The present study presents an accurate mapping of the clinical and economic impact of infections attributable to alert organisms demonstrating that infections due to multidrug-resistant organisms are associated with higher mortality, longer hospital stays, and increased costs. Article Highlights Box: The increasing antimicrobial resistance poses a challenge for surveillance systems and raises concerns about the impact of multidrug-resistant organisms on patient safety. • Healthcare-associated infections (HAIs) have historically been recognized as a significant public health problem requiring close surveillance. • Despite several and reliable findings have been achieved on clinical issues, our knowledge on the economic impact of healthcare-associated infections due to multidrug-resistant organisms needs to be widened. • Estimating the cost of infections due to multidrug-resistant organisms in terms of extra hospital stay and economic burden is complex, and the financial impact varies across different health systems. • Evaluations of social and economic implications of hospital infections play an increasingly important role in the implementation of surveillance systems. • The costs of infection prevention and control programs and dedicated personnel are relatively low and self-sustainable when efficient.


2010 ◽  
Vol 31 (S1) ◽  
pp. S18-S21 ◽  
Author(s):  
Aaron M. Milstone ◽  
Kristina A. Bryant ◽  
W. Charles Huskins ◽  
Danielle M. Zerr

Multidrug resistant organisms (MDROs) and healthcare-associated infections (HAIs) are associated with increased lengths of hospital stay, increased costs, and increased mortality. We explore the scope of MDRO HAIs in children, current MDRO HAI prevention practices and data to support these practices, and we propose research topics targeting MDRO HAI prevention in children.


2014 ◽  
Vol 1 (suppl_1) ◽  
pp. S133-S133
Author(s):  
Gabriel Motoa ◽  
Cristhian Hernandez ◽  
Victor M Blanco ◽  
Juan S. Muñoz ◽  
Adriana Correa ◽  
...  

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